← 研踪 PaperTrailarXiv:2611.16038 · v1
Continual Event Recognition for Autonomous Optical Network Monitoring
首次提交 2026-11-12 05:46
版本更新 2026-11-12 05:46
雷达观测 2026-11-13 14:16
摘要
Autonomous optical networks require monitoring systems capable of adapting to evolving disturbances without repeated retraining or service interruption. We propose a continual event recognition framework for state-of-polarization (SOP)-based optical monitoring based on prototype representations, open-set recognition, and few-shot prototype registration. The framework supports recognition of known disturbances, detection and integration of novel events, and investigates whether overlapping disturbances can be inferred through compositional reasoning from existing prototypes. Experimental validation on a 2600-km ROADM-based optical testbed demonstrates 99.82% closed-set recognition accuracy, successful adaptation to novel disturbances without encoder retraining, and reveals that overlapping optical disturbances exhibit varying degrees of latent compositionality. While some overlaps can be recognized in a zero-shot manner through prototype composition, others require explicit few-shot registration. These results establish continual event recognition as a promising paradigm for future autonomous optical network monitoring systems.
作者备注：ACP 2026
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v1 · 2026-11-12 05:46 · 最新观测版本
Continual Event Recognition for Autonomous Optical Network Monitoring
Autonomous optical networks require monitoring systems capable of adapting to evolving disturbances without repeated retraining or service interruption. We propose a continual event recognition framework for state-of-polarization (SOP)-based optical monitoring based on prototype representations, open-set recognition, and few-shot prototype registration. The framework supports recognition of known disturbances, detection and integration of novel events, and investigates whether overlapping disturbances can be inferred through compositional reasoning from existing prototypes. Experimental validation on a 2600-km ROADM-based optical testbed demonstrates 99.82% closed-set recognition accuracy, successful adaptation to novel disturbances without encoder retraining, and reveals that overlapping optical disturbances exhibit varying degrees of latent compositionality. While some overlaps can be recognized in a zero-shot manner through prototype composition, others require explicit few-shot registration. These results establish continual event recognition as a promising paradigm for future autonomous optical network monitoring systems.
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